Snoozing: an examination of a common method of waking.

STUDY OBJECTIVES: Snoozing was defined as using multiple alarms to accomplish waking, and considered as a method of sleep inertia reduction that utilizes the stress system. Surveys measured snoozing behavior including who, when, how, and why snoozing occurs. In addition, the physiological effects of snoozing on sleep were examined via wearable sleep staging and heart rate (HR) activity, both over a long time scale, and on the days that it occurs. We aimed to establish snoozing as a construct in need of additional study. METHODS: A novel survey examined snoozing prevalence, how snoozing was accomplished, and explored possible contributors and motivators of snoozing behavior in 450 participants. Trait- and day-level surveys were combined with wearable data to determine if snoozers sleep differently than nonsnoozers, and how snoozers and nonsnoozers differ in other areas, such as personality. RESULTS: 57% of participants snoozed. Being female, younger, having fewer steps, having lower conscientiousness, having more disturbed sleep, and being a more evening chronotype increased the likelihood of being a snoozer. Snoozers had elevated resting HR and showed lighter sleep before waking. Snoozers did not sleep less than nonsnoozers nor did they feel more sleepiness or nap more often. CONCLUSIONS: Snoozing is a common behavior associated with changes in sleep physiology before waking, both in a trait- and state-dependent manner, and is influenced by demographic and behavioral traits. Additional research is needed, especially in detailing the physiology of snoozing, its impact on health, and its interactions with observational studies of sleep.

Parental monitoring, family conflict, and adolescent alcohol use: A longitudinal latent class analysis.

This study examined relationships among parental monitoring, family conflict, and subgroups of adolescent alcohol use identified through longitudinal latent class analyses (LLCA). Differences in these subgroups across sex and race/ethnicity were also examined. The present study used data (N = 4,067; 51% male, 49% female) collected during a longitudinal study in which adolescents completed questionnaires each semester for seven semesters, beginning in spring of their freshman year of high school until spring of their senior year. LLCA demonstrated three classes of drinking over time (low, increasing, and moderate use). The majority of adolescents were increasing-use drinkers. Moderate drinkers were more likely to be male than female; nondrinkers were most likely to be African American; and increasing-use drinkers were more likely to be Mexican American. Adolescents who received less maternal monitoring and experienced more family conflict were more likely to be identified in the class of moderate alcohol use compared to nonuse. These results highlight the importance of encouraging parental monitoring and decreasing family conflict to reduce the likelihood of adolescent alcohol use throughout the high school years (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Inhibition of ATR Reverses a Mitochondrial Respiratory Insufficiency.

Diseases that affect the mitochondrial electron transport chain (ETC) often manifest as threshold effect disorders, meaning patients only become symptomatic once a certain level of ETC dysfunction is reached. Cells can invoke mechanisms to circumvent reaching their critical ETC threshold, but it is an ongoing challenge to identify such processes. In the nematode Caenorhabditis elegans, severe reduction of mitochondrial ETC activity shortens life, but mild reduction actually extends it, providing an opportunity to identify threshold circumvention mechanisms. Here, we show that removal of ATL-1, but not ATM-1, worm orthologs of ATR and ATM, respectively, key nuclear DNA damage checkpoint proteins in human cells, unexpectedly lessens the severity of ETC dysfunction. Multiple genetic and biochemical tests show no evidence for increased mutation or DNA breakage in animals exposed to ETC disruption. Reduced ETC function instead alters nucleotide ratios within both the ribo- and deoxyribo-nucleotide pools, and causes stalling of RNA polymerase, which is also known to activate ATR. Unexpectedly, atl-1 mutants confronted with mitochondrial ETC disruption maintain normal levels of oxygen consumption, and have an increased abundance of translating ribosomes. This suggests checkpoint signaling by ATL-1 normally dampens cytoplasmic translation. Taken together, our data suggest a model whereby ETC insufficiency in C. elegans results in nucleotide imbalances leading to the stalling of RNA polymerase, activation of ATL-1, dampening of global translation, and magnification of ETC dysfunction. The loss of ATL-1 effectively reverses the severity of ETC disruption so that animals become phenotypically closer to wild type.

MIRRORS program: Helping pregnant and postpartum women and families with substance use problems.

Background: Pregnant and postpartum women with substance use disorders are a highly vulnerable population, especially when this is compounded by homelessness or unstable housing, justice involvement, and/or co-occurring mental health challenges. The MIRRORS (Maternal Initiative for Reflective Recovery-Oriented Residential Services) program provided expanded and enhanced residential substance use disorder treatment, prevention and recovery support for women and children through integrated, trauma-informed care and services strengthened by a comprehensive and coordinated family systems approach. This paper describes the program and provides evaluation of the outcomes. Methods: Pregnant and postpartum women (n = 215) were assessed at 3 time points: intake, discharge and 6-months post-intake using standardized measures of family functioning, parenting, recovery capital, and other outcomes. Multilevel modeling was employed to examine individual differences in trends over time. Results: Over 80% of participants reported that the MIRRORS program enhanced their recovery treatment experience. Women reported significant improvements in general family functioning, problem solving, behavioral control, affective responsiveness, and communication. Participants also reported increased recovery capital and improved parental monitoring over time. Conclusions: Outcomes indicate that the MIRRORS program was effective in improving family functioning and reducing substance use, thus enhancing women's functioning and recovery.

Profiles and academic trajectories of cognitively gifted children with autism spectrum disorder.

Gifted children with autism spectrum disorder (ASD) are often referred to as twice-exceptional, the term that highlights the co-occurrence of exceptional challenges and exceptional giftedness. This study performed secondary data analysis on samples of twice-exceptional children from the Pre-Elementary Education Longitudinal Study and the Special Education Elementary Longitudinal Study datasets. The results provide a descriptive profile of twice-exceptional (e.g. demographics, average academic performance, and services utilized), trajectory plots that indicate how academic performance changes over time, and multilevel analyses that model growth in academic outcomes using demographics, school services, and giftedness as predictors. Some of the key findings are that twice-exceptional students show not only higher initial levels of academic performance, but they improve over time relative to the non-gifted ASD counterparts and-with the exception of Letter Word Matching-even relative to the general population. Moreover, they benefit from mental health services disproportionately. Together, the results offer a deeper understanding of the twice-exceptional autistic population, their academic performance over time, and the services that they utilize.

Time and Other Considerations in Mediation Design.

This article serves as a practical guide to mediation design and analysis by evaluating the ability of mediation models to detect a significant mediation effect using limited data. The cross-sectional mediation model, which has been shown to be biased when the mediation is happening over time, is compared with longitudinal mediation models: sequential, dynamic, and cross-lagged panel. These longitudinal mediation models take time into account but bring many problems of their own, such as choosing measurement intervals and number of measurement occasions. Furthermore, researchers with limited resources often cannot collect enough data to fit an appropriate longitudinal mediation model. These issues were addressed using simulations comparing four mediation models each using the same amount of data but with differing numbers of people and time points. The data were generated using multilevel mediation models, with varying data characteristics that may be incorrectly specified in the analysis models. Models were evaluated using power and Type I error rates in detecting a significant indirect path. Multilevel longitudinal mediation analysis performed well in every condition, even in the misspecified conditions. Of the analyses that used limited data, sequential mediation had the best performance; therefore, it offers a viable second choice when resources are limited. Finally, each of these models were demonstrated in an empirical analysis.

Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation.

Nonnormality of univariate data has been extensively examined previously (Blanca et al., Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 9(2), 78-84, 2013; Miceeri, Psychological Bulletin, 105(1), 156, 1989). However, less is known of the potential nonnormality of multivariate data although multivariate analysis is commonly used in psychological and educational research. Using univariate and multivariate skewness and kurtosis as measures of nonnormality, this study examined 1,567 univariate distriubtions and 254 multivariate distributions collected from authors of articles published in Psychological Science and the American Education Research Journal. We found that 74 % of univariate distributions and 68 % multivariate distributions deviated from normal distributions. In a simulation study using typical values of skewness and kurtosis that we collected, we found that the resulting type I error rates were 17 % in a t-test and 30 % in a factor analysis under some conditions. Hence, we argue that it is time to routinely report skewness and kurtosis along with other summary statistics such as means and variances. To facilitate future report of skewness and kurtosis, we provide a tutorial on how to compute univariate and multivariate skewness and kurtosis by SAS, SPSS, R and a newly developed Web application.